Retail & E-Commerce AI Automation Solutions

We unify identifiers (email, loyalty ID, device, order keys), resolve identities with probabilistic and deterministic rules, and stream events into a governed profile store. Activation goes to CDP destinations, personalization APIs, and analytics—with GDPR/CCPA consent and retention policies enforced by design.

Yes. Models are trained with business constraints: stock availability, margin floors, category rules, and brand guidelines. Ranking layers blend relevance with commercial objectives so recommendations stay profitable and fulfillable.

Common integrations include Salesforce Commerce Cloud, Shopify Plus, Adobe Commerce, BigCommerce, SAP Commerce, Snowflake, Databricks, Segment, Braze, Iterable, and major POS/OMS systems. We use APIs, CDC, and batch feeds depending on latency needs.

Customer 360 and activation pilots often show lift within 8–12 weeks. Personalization at scale typically reaches steady-state ROI in 3–6 months. Forecasting ROI depends on replenishment cadence but frequently appears within one inventory cycle.

We implement data minimization, consent management, pseudonymization, encryption in transit and at rest, and role-based access. Pipelines support deletion requests and regional residency. PCI scope is reduced via tokenized payment data where applicable.

Yes. We monitor data drift, conversion lift, segment fairness, and guardrail violations. Dashboards tie model metrics to commercial KPIs with scheduled retraining and rollback paths.